LDPE
Files | Size | Format | Created | Updated | License | Source |
---|---|---|---|---|---|---|
1 | 0 B | csv | LDPE |
Data from a low-density polyethylene production process. There are 14 process variables and 5 quality variables. This is simulated data. Two tubular reactors are connected in series. The first 50 obs...
Read more
Data Files
File | Description | Size | Last modified | Download |
---|---|---|---|---|
LDPE | LDPE |
Data Previews
LDPE
Description
Data from a low-density polyethylene
production process. There are 14 process variables and 5 quality variables.
Dataset
This is simulated data. Two tubular reactors are connected in series. The first 50 observations are from common-cause (normal) operation, while the last 4 show a process fault developing: the impurity level in the ethylene feed in both zones is increasing. The dataset consists of:
Tin
: inlet temperature to zone 1 of the reactor [K]Tmax1
: maximum temperature along zone 1 [K]Tout1
: outlet temperature from zone 1 [K]Tmax2
: maximum temperature along zone 2 [K]Tout2
: outlet temperature from zone 2 [K]Tcin1
: temperature of inlet coolant to zone [K]Tcin2
: temperature of inlet coolant to zone 2 [K]z1
: percentage along zone 1 where Tmax1 occurs [%]z2
: percentage along zone 2 where Tmax2 occurs [%]Fi1
: flow rate of initiators to zone 1 [g/s]Fi2
: flow rate of initiators to zone 2 [g/s]Fs1
: flow rate of solvent to zone 1 [% of ethylene]Fs2
: flow rate of solvent to zone 2 [% of ethylene]Press
: pressure in the reactor [atm]Conv
: quality variable: cumulative conversionMn
: quality variable: number average molecular weightMw
: quality variable: weight average molecular weightLCB
: quality variable: long chain branching per 1000 C atomsSCB
: quality variable: short chain branching per 1000 C atoms
Preparation
Python version: 3.6
License
Please follow this for License information